#ifndef STAN_MATH_PRIM_SCAL_PROB_NEG_BINOMIAL_2_CDF_HPP
#define STAN_MATH_PRIM_SCAL_PROB_NEG_BINOMIAL_2_CDF_HPP

#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_not_nan.hpp>
#include <stan/math/prim/scal/err/check_positive_finite.hpp>
#include <stan/math/prim/scal/fun/digamma.hpp>
#include <stan/math/prim/scal/fun/inc_beta.hpp>
#include <stan/math/prim/scal/fun/inc_beta_dda.hpp>
#include <stan/math/prim/scal/fun/inc_beta_ddb.hpp>
#include <stan/math/prim/scal/fun/inc_beta_ddz.hpp>
#include <stan/math/prim/scal/fun/value_of.hpp>
#include <stan/math/prim/scal/meta/is_constant_struct.hpp>
#include <stan/math/prim/scal/meta/length.hpp>
#include <stan/math/prim/scal/meta/partials_return_type.hpp>
#include <stan/math/prim/scal/meta/OperandsAndPartials.hpp>
#include <stan/math/prim/scal/meta/VectorBuilder.hpp>
#include <limits>

namespace stan {
  namespace math {

    template <typename T_n, typename T_location,
              typename T_precision>
    typename return_type<T_location, T_precision>::type
    neg_binomial_2_cdf(const T_n& n,
                       const T_location& mu,
                       const T_precision& phi) {
      static const char* function("stan::prob::neg_binomial_2_cdf");
      typedef typename stan::partials_return_type<T_n, T_location,
                                                  T_precision>::type
        T_partials_return;

      T_partials_return P(1.0);
      if (!(stan::length(n)
            && stan::length(mu)
            && stan::length(phi)))
        return P;

      check_positive_finite(function, "Location parameter", mu);
      check_positive_finite(function, "Precision parameter", phi);
      check_not_nan(function, "Random variable", n);
      check_consistent_sizes(function,
                             "Random variable", n,
                             "Location parameter", mu,
                             "Precision Parameter", phi);

      VectorView<const T_n> n_vec(n);
      VectorView<const T_location> mu_vec(mu);
      VectorView<const T_precision> phi_vec(phi);
      size_t size = max_size(n, mu, phi);

      OperandsAndPartials<T_location, T_precision>
        operands_and_partials(mu, phi);

      // Explicit return for extreme values
      // The gradients are technically ill-defined, but treated as zero
      for (size_t i = 0; i < stan::length(n); i++) {
        if (value_of(n_vec[i]) < 0)
          return operands_and_partials.value(0.0);
      }

      VectorBuilder<!is_constant_struct<T_precision>::value,
                    T_partials_return, T_precision>
        digamma_phi_vec(stan::length(phi));

      VectorBuilder<!is_constant_struct<T_precision>::value,
                    T_partials_return, T_precision>
        digamma_sum_vec(stan::length(phi));

      if (!is_constant_struct<T_precision>::value) {
        for (size_t i = 0; i < stan::length(phi); i++) {
          const T_partials_return n_dbl = value_of(n_vec[i]);
          const T_partials_return phi_dbl = value_of(phi_vec[i]);

          digamma_phi_vec[i] = digamma(phi_dbl);
          digamma_sum_vec[i] = digamma(n_dbl + phi_dbl + 1);
        }
      }

      for (size_t i = 0; i < size; i++) {
        // Explicit results for extreme values
        // The gradients are technically ill-defined, but treated as zero
        if (value_of(n_vec[i]) == std::numeric_limits<int>::max())
          return operands_and_partials.value(1.0);

        const T_partials_return n_dbl = value_of(n_vec[i]);
        const T_partials_return mu_dbl = value_of(mu_vec[i]);
        const T_partials_return phi_dbl = value_of(phi_vec[i]);

        const T_partials_return p_dbl = phi_dbl / (mu_dbl + phi_dbl);
        const T_partials_return d_dbl = 1.0 / ((mu_dbl + phi_dbl)
                                               * (mu_dbl + phi_dbl));

        const T_partials_return P_i =
          inc_beta(phi_dbl, n_dbl + 1.0, p_dbl);

        P *= P_i;

        if (!is_constant_struct<T_location>::value)
          operands_and_partials.d_x1[i] +=
            - inc_beta_ddz(phi_dbl, n_dbl + 1.0, p_dbl) * phi_dbl * d_dbl / P_i;

        if (!is_constant_struct<T_precision>::value) {
          operands_and_partials.d_x2[i]
            += inc_beta_dda(phi_dbl, n_dbl + 1, p_dbl,
                            digamma_phi_vec[i],
                            digamma_sum_vec[i]) / P_i
               + inc_beta_ddz(phi_dbl, n_dbl + 1.0, p_dbl)
                 * mu_dbl * d_dbl / P_i;
        }
      }

      if (!is_constant_struct<T_location>::value) {
        for (size_t i = 0; i < stan::length(mu); ++i)
          operands_and_partials.d_x1[i] *= P;
      }

      if (!is_constant_struct<T_precision>::value) {
        for (size_t i = 0; i < stan::length(phi); ++i)
          operands_and_partials.d_x2[i] *= P;
      }

      return operands_and_partials.value(P);
    }

  }
}
#endif
